What changed
Maps heterogeneous weather observations through learned state estimation, autoregressive forecasting and local prediction modules, permitting end-to-end adaptation without numerical-model initial states at inference.
Scientific scope
Maps heterogeneous weather observations through learned state estimation, autoregressive forecasting and local prediction modules, permitting end-to-end adaptation without numerical-model initial states at inference. V1 ten-author UNet account differs from expanded v3 eleven-author ViT account; first two equal marks are explicit in v3. Independence from NWP at inference does not remove reanalysis dependence during pretraining. V1 abstract says one-degree while body reports1.41-degree grid; no unsupported exact resolution selected. Skill and baseline wins vary by variable/lead; spectral blurring and weak upper-level/short-range skill remain. No agricultural/public-health application claims.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. V1 ten-author UNet account differs from expanded v3 eleven-author ViT account; first two equal marks are explicit in v3. Independence from NWP at inference does not remove reanalysis dependence during pretraining. V1 abstract says one-degree while body reports1.41-degree grid; no unsupported exact resolution selected. Skill and baseline wins vary by variable/lead; spectral blurring and weak upper-level/short-range skill remain. No agricultural/public-health application claims.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
- Aardvark Weather: end-to-end data-driven weather forecasting
- End-to-end data-driven weather prediction
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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